Startups

Beam

Distributed Systems Engineer

New York, NY, US / San Francisco, CA, US / Remote (US)

Full-time

**Beam** is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.

# **About the Role**

We’re looking to hire someone to help us with Platform Engineering work. We’re working on lots of fun problems:

  • Low-level systems development: working with container runtimes, OCI image formats, and lazy-loading large files from content addressable storage
  • Efficiently packing thousands of workloads into GPUs across multiple clouds
  • Working with cutting-edge technologies, like GPU checkpoint restore and CRIU

Our backend is mostly in Go, with some Python. **Your work will directly impact millions of users around the world.**

# Skills & Experience

  • 3-5 years of experience working with a large distributed system
  • Comfortable with Kubernetes
  • Experience writing a statically typed language, like Golang or Rust
  • Familiarity with things like gRPC, Helm/Kustomize, and Terraform
  • Excited to collaborate closely with customers
  • Enthusiasm for developer tools, cloud native technologies, and open source software

# Benefits

  • Competitive salary and meaningful equity
  • Join a fast-growing pre-series A company at the ground floor
  • Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
  • Opportunities to participate in events across the cloud native community
  • Fitness stipend, learning budget, and much, much more

Sourced 2026-10-02